This four-session course will introduce participants to the primary packages and methods for data analysis in Python. The sessions will focus on how to utilize the popular Pandas library for the management and preliminary analysis of data, including cleaning, aggregation, and sorting. This class is intended for graduate students, faculty, and staff at WashU who have basic familiarity with Python and want to further develop their skills in data analysis and visualization in the language for their research, and aims to enable researchers to make use of new advances in digital and data-based methods in their own field. 

Participants MUST have basic Python skills to take this class. Participants who have completed the TRIADS beginner Introduction to Python course are encouraged to continue developing their skills through this course.

This class will be conducted fully in-person, and participants will be required to use their own laptops. Enrollment is limited to 20.

DATES OF DATA ANALYSIS WITH PYTHON SERIES (ALL HELD IN OLIN LIBRARY, INSTRUCTION ROOM 1 FROM 11 AM–12:30 PM)

• Tuesday, February 3
• Thursday, February 5
• Tuesday, February 10
• Thursday, February 12